Latest Developments in Artificial Intelligence

Artificial Intelligence

Artificial Intelligence (AI) is a significant development of our time. Machine learning and the implications are shaking up many aspects that allow deploying AI, where we previously use a human or a more inefficient process.

Some latest developments which demonstrate how technology is advancing:

1. AI Robots Learn Through Observation

The mechanism through which AI “learns” is generally through training by humans or machine learning, where the bot learns by processing data. For example, a bot might observe that you seem to go to the same place at the same time every day, and it may start to look for traffic and automatically weather conditions to provide you with an estimated driving time.

Groundbreaking development in AI has been the development of robots abilities to learn through observing the actions of humans.

If robots can learn through observing demonstrations, this has implications, particularly for the workplace and for carrying out physical tasks. Perhaps robots of the future will be in homes, following.

2. AI Robot Caregivers Are Filling a Shortfall

Many countries throughout the world are heading towards a crisis in terms of having enough carers for ageing populations.  

Artificial Intelligence developed to step in and make up for the shortfall. In particular, work on increasing acceptance of technology filling for human nursing and caregiving roles.

The next research priorities include wearable mobility aid devices and technology that guides people; it predicts there is the right time.

3. AI Brewers

Intelligent is using AI to take customer feedback into account as much as possible. Technically, a product of customer experience and skilled brewers.

The process works by using an algorithm that is behind a Facebook

Messenger bot. The bot takes the customer feedback and passes it on to the humans who are brewing.

The company places codes on bottleneck which direct customers to the bot. A series of questions and answers asked to which are interpreted by the algorithm that accumulates spot trends and informs the brewing process.

4. AI-Based cybersecurity

As technology evolves, make potential threats to sensitive information and networks.

There is an increased demand for Artificial Intelligence solutions that boosts cybersecurity.

Professionals are hoping it will accelerate incident detection that improves incident response, identify and communicate risk, and generally help them to maintain optimum situational awareness.

It models network behavior by using structured and unstructured machine learning to improve threat detection.

It introduces a new platform called the Chronicle, which is a cybersecurity intelligence platform. Chronicle is a powerhouse for cybersecurity data, allowing for quick search and discovery.

The idea is that security teams already have the information they need within their systems, but it will hide among the millions of data points.

Machine learning advanced search capabilities are the driver for a quicker search.

5. AI Diagnostics for X-Rays

Medical technology is a field that’s ripe for innovation from AI.

Areas such as diagnostics traditionally rely on a human operator being able to read and interpret tests or imaging results.

It naturally creates some kind of lag in processing and leaves open the possibility for human error.

There are significant challenges in the area of AI for diagnostics.

For example, the AI must teach correctly interpret results under human supervision, and it is challenging to guide the identification of rare pathologies, due to a shortage of images.

A recent development has virtually used machine learning by computer-generated x-rays to augment AI training.

It creates simulated x-rays that reflect certain rare conditions combining with simple x-rays having an extensive database for training a neural network to identify these conditions in other x-rays.

This development brings the idea of AI taking the diagnostics role even closer.

6. AI in Smartphone Apps

AI is making an appearance in a broad range of smartphone apps designed for everyday consumers. Eighty percentage of smartphones equipped with on-device AI capabilities compared to the ten rates with specific abilities.

It makes AI a critical opportunity for developers of all types of apps.

Here are a few that are currently in use:

Google Assistant – You can access your assistant by holding down the home button on your Android phone, or saying aloud, “Okay Google.” From there, you can send messages, check appointments, and play music, and a host of other things hands-free.

Socratic – Socratic is a smart tutoring app which can explain how to solve problems by analyzing a picture of the math problem.

Microsoft Pix – Everyone wants to be able to take and share the perfect photo. Microsoft Pix helps by capturing ten frames per shutter click, using AI to select the best three, then deleting the rest, saving you storage space.

7. AI in FinTech

FinTech is an area to see much disruptive technology in the last decade. Traditional financial technologies have found themselves much less popular, as other solutions, such as apps, have popped up. AI is another disruptor in the sector.

AI able to reduce processing times, for example, your bank probably has an app which allows you to photograph a check for deposit.

With AI, funds are available immediately being able to read the review that eliminates the need for a human operator to read and deposit the check accurately.

Fraud detection is another effort that AI is helping. For example, Pixmettle is developing enterprise-level AI tools to help flag things like duplicate expenses and corporate policy violations.

Chatbots are also now widely in use. Many banking apps use them as part of their customer service suite. At the same time, some apps have specifically developed to connect financial accounts with Facebook Messenger (such as Trim), allowing users to ask questions via the app, make cancellations, or get reports.

FinTech is also ripe for cybersecurity AI which is scalable and able to analyze large amounts of data rapidly.

Final Thoughts

Artificial Intelligence represents a vast opportunity across virtually every sector. It has already proven to be disruptive, but the anticipation that it will be much more widespread over the next few years.

AI is an area to watch, and perhaps you should consider its applications for your niche. How Coronavirus Affecting Techno Future Using Artificial Intelligence?

  • 2704 Views
  • 614 0

All Comments

  • Warren H Callaham

    I want to Learn and Gain as much as I possibly can.

    6 months ago | 16 December, 2020 12:11 am Reply
  • Warren H Callaham

    I would be very interested for this to happen.

    6 months ago | 16 December, 2020 12:06 am Reply

Leave a Reply

Your email address will not be published. Required fields are marked *